{"title":"Driver Situation Awareness for Regaining Control from Conditionally Automated Vehicles: A Systematic Review of Empirical Studies.","authors":"Xiaomei Tan, Yiqi Zhang","doi":"10.1177/00187208241272071","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>An up-to-date and thorough literature review is needed to identify factors that influence driver situation awareness (SA) during control transitions in conditionally automated vehicles (AV). This review also aims to ascertain SA components required for takeovers, aiding in the design and evaluation of human-vehicle interfaces (HVIs) and the selection of SA assessment methodologies.</p><p><strong>Background: </strong>Conditionally AVs alleviate the need for continuous road monitoring by drivers yet necessitate their reengagement during control transitions. In these instances, driver SA is crucial for effective takeover decisions and subsequent actions. A comprehensive review of influential SA factors, SA components, and SA assessment methods will facilitate driving safety in conditionally AVs but is still lacking.</p><p><strong>Method: </strong>A systematic literature review was conducted. Thirty-four empirical research articles were screened out to meet the criteria for inclusion and exclusion.</p><p><strong>Results: </strong>A conceptual framework was developed, categorizing 23 influential SA factors into four clusters: task/system, situational, individual, and nondriving-related task factors. The analysis also encompasses an examination of pertinent SA components and corresponding HVI designs for specific takeover events, alongside an overview of SA assessment methods for conditionally AV takeovers.</p><p><strong>Conclusion: </strong>The development of a conceptual framework outlining influential SA factors, the examination of SA components and their suitable design of presentation, and the review of SA assessment methods collectively contribute to enhancing driving safety in conditionally AVs.</p><p><strong>Application: </strong>This review serves as a valuable resource, equipping researchers and practitioners with insights to guide their efforts in evaluating and enhancing driver SA during conditionally AV takeovers.</p>","PeriodicalId":56333,"journal":{"name":"Human Factors","volume":null,"pages":null},"PeriodicalIF":2.9000,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human Factors","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1177/00187208241272071","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BEHAVIORAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: An up-to-date and thorough literature review is needed to identify factors that influence driver situation awareness (SA) during control transitions in conditionally automated vehicles (AV). This review also aims to ascertain SA components required for takeovers, aiding in the design and evaluation of human-vehicle interfaces (HVIs) and the selection of SA assessment methodologies.
Background: Conditionally AVs alleviate the need for continuous road monitoring by drivers yet necessitate their reengagement during control transitions. In these instances, driver SA is crucial for effective takeover decisions and subsequent actions. A comprehensive review of influential SA factors, SA components, and SA assessment methods will facilitate driving safety in conditionally AVs but is still lacking.
Method: A systematic literature review was conducted. Thirty-four empirical research articles were screened out to meet the criteria for inclusion and exclusion.
Results: A conceptual framework was developed, categorizing 23 influential SA factors into four clusters: task/system, situational, individual, and nondriving-related task factors. The analysis also encompasses an examination of pertinent SA components and corresponding HVI designs for specific takeover events, alongside an overview of SA assessment methods for conditionally AV takeovers.
Conclusion: The development of a conceptual framework outlining influential SA factors, the examination of SA components and their suitable design of presentation, and the review of SA assessment methods collectively contribute to enhancing driving safety in conditionally AVs.
Application: This review serves as a valuable resource, equipping researchers and practitioners with insights to guide their efforts in evaluating and enhancing driver SA during conditionally AV takeovers.
目的：需要进行最新、全面的文献综述，以确定在有条件自动驾驶车辆（AV）控制转换期间影响驾驶员态势感知（SA）的因素。本综述还旨在确定接管所需的 SA 要素，从而帮助设计和评估人车界面 (HVI)，并选择 SA 评估方法：背景：有条件的自动驾驶汽车可减轻驾驶员持续监控道路的需要，但在控制权转换期间，驾驶员必须重新参与。在这种情况下，驾驶员安全保障对于有效的接管决策和后续行动至关重要。对影响 SA 的因素、SA 组成要素和 SA 评估方法进行全面审查将有助于有条件自动驾驶汽车的驾驶安全，但目前仍缺乏这方面的研究：方法：进行了系统的文献综述。方法：进行了一次系统的文献综述，筛选出 34 篇符合纳入和排除标准的实证研究文章：结果：建立了一个概念框架，将 23 个影响 SA 的因素分为四类：任务/系统、情景、个人和与驾驶无关的任务因素。分析还包括针对特定接管事件的相关 SA 要素和相应的 HVI 设计的研究，以及对有条件反车辆接管的 SA 评估方法的概述：结论：概念框架的制定概述了有影响的 SA 因素，对 SA 要素及其合适的展示设计进行了研究，并对 SA 评估方法进行了综述，这些都有助于提高有条件自动驾驶汽车的驾驶安全性：本综述可作为宝贵的资源，为研究人员和从业人员提供见解，指导他们评估和加强有条件自动驾驶汽车接管期间的驾驶员安全保障。
期刊介绍：
Human Factors: The Journal of the Human Factors and Ergonomics Society publishes peer-reviewed scientific studies in human factors/ergonomics that present theoretical and practical advances concerning the relationship between people and technologies, tools, environments, and systems. Papers published in Human Factors leverage fundamental knowledge of human capabilities and limitations – and the basic understanding of cognitive, physical, behavioral, physiological, social, developmental, affective, and motivational aspects of human performance – to yield design principles; enhance training, selection, and communication; and ultimately improve human-system interfaces and sociotechnical systems that lead to safer and more effective outcomes.
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